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Curvature-based human body parts segmentation in physiotherapy 10

Curvature-based human body parts segmentation in physiothera...

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10th International Conference on Computer Vision Theory and Applications, VISAPP 2015

作者： Deboeverie, Francis Geest, Roeland De Tuytelaars, Tinne Veelaert, Peter Philips, Wilfried Department of Telecommunications and Information Processing Image Processing and Interpretation UGent/iMinds St-Pietersnieuwstraat 41 Ghent9000 Belgium Processing Speech and Images ESAT-PSI KU Leuven/iMinds Kasteelpark Arenberg 10 Leuven3001 Belgium

ISBN: (纸本)9789897580895

Analysing human sports activity in computer vision requires reliable segmentation of the human body into meaningful parts, such as arms, torso and legs. Therefore, we present a novel strategy for human body segmentation. Firstly, greyscale images of human bodies are divided into smooth intensity patches with an adaptive region growing algorithm based on low-degree polynomial fitting. Then, the key idea in this paper is that human body parts are approximated by nearly cylindrical surfaces, of which the axes of minimum curvature accurately reconstruct the human body skeleton. Next, human body segmentation is qualitatively evaluated with a line segment distance between reconstructed human body skeletons and ground truth skeletons. When compared with human body parts segmentations based on mean shift, normalized cuts and watersheds, the proposed method achieves more accurate segmentations and better reconstructions of human body skeletons. Copyright © 2015 SCITEPRESS - Science and Technology Publications All rights reserved.

关键词： image segmentation

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Optimized feature fusion of LiDAR and hyperspectral data for tree species mapping in closed forest canopies

Optimized feature fusion of LiDAR and hyperspectral data for...

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Workshop on Hyperspectral image and Signal processing: Evolution in Remote Sensing, WHISPERS

作者： F. M. B. Van Coillie W. Liao P. Kempeneers K. Vandekerkhove S. Gautama W. Philips R. R. De Wulf Faculty of Bioscience Engineering Ghent University Gent Belgium Department of Telecommunications and Information Processing Ghent University - iMinds - Image Processing and Interpretation Ghent Belgium Flemish Institute for Technological Research - VITO Mol Belgium Research Institute for Nature and Forest - INBO Geraardsbergen Belgium

This study deals with data fusion of hyperspectral and LiDAR sensors for tree species mapping in complex, closed forest canopies in Belgium. In particular, seven tree species were mapped: Beech, Ash, Larch, Poplar, Copper beech, Chestnut and Oak. The added value of LiDAR height profile data on tree species mapping was assessed. Sensor data were fused in the PCA domain, while optimal feature combination was derived from the best classification performance (in terms of Kappa and producer's accuracy) based on 5-fold cross-validation. Besides, varying training set sizes were tested (resp. 10%, 30% and 50% number of samples per tree species class). Feature fusion of PCA-transformed HS and LiDAR data was most effective for small sample set sizes reaching a Kappa accuracy improvement of 10.51%.

关键词： Laser radar Vegetation Hyperspectral imaging Training Atmospheric modeling

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A low resolution multi-camera system for person tracking

A low resolution multi-camera system for person tracking

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作者： Eldib, Mohamed Bo, Nyan Bo Deboeverie, Francis Nino, Jorge Guan, Junzhi Van De Velde, Samuel Steendam, Heidi Aghajan, Hamid Philips, Wilfried Department of Telecommunications and Information Processing Ghent University-iMinds Belgium Image Processing and Interpretation-Vision Systems United States Ambient Intelligence Research Lab Stanford University United States

ISBN: (纸本)9781479957514

The current multi-camera systems have not studied the problem of person tracking under low resolution constraints. In this paper, we propose a low resolution sensor network for person tracking. The network is composed of cameras with a resolution of 30×30 pixels. The multi-camera system is used to evaluate probability occupancy mapping and maximum likelihood trackers against ground truth collected by ultra-wideband (UWB) testbed. Performance evaluation is performed on two video sequences of 30 minutes. The experimental results show that maximum likelihood estimation based tracker outperforms the state-of-the-art on low resolution cameras. © 2014 IEEE.

关键词： Maximum likelihood estimation

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A PROBABILISTIC interpretation OF GEOMETRIC ACTIVE CONTOUR SEGMENTATION

A PROBABILISTIC INTERPRETATION OF GEOMETRIC ACTIVE CONTOUR S...

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European Signal processing Conference

作者： Jonas De Vylder Dirk Van Haerenborgh Jan Aelterman Wilfried Philips Department of Telecommunications and Information Processing iMinds - Image Processing and Interpretation Ghent University

ISBN: (纸本)9781479946037

Active contours or snakes are widely used for segmentation and tracking. These techniques require the minimization of an energy function, which is typically a linear combination of a data-fit term and regularization terms. This energy function can be tailored to the intrinsic object and image features. This can be done by either modifying the actual terms or by changing the weighting parameters of the terms. There is, however, no sure way to set these terms and weighting parameters optimally for a given application. Although heuristic techniques exist for parameter estimation, often trial and error is used. In this paper, we propose a probabilistic interpretation to segmentation. This approach results in a generalization of state of the art active contour segmentation. In the proposed framework all parameters have a statistical interpretation, thus avoiding ad hoc parameter settings.

关键词： Active contours Segmentation Convex optimization Statistical estimator

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A low resolution multi-camera system for person tracking

A low resolution multi-camera system for person tracking

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IEEE International Conference on image processing

作者： Mohamed Eldib Nyan Bo Bo Francis Deboeverie Jorge Nino Junzhi Guan Samuel Van de Velde Heidi Steendam Hamid Aghajan Wilfried Philips Image Processing and Interpretation-Vision Systems Department of Telecommunications and Information Processing Ghent University-iMinds Belgium Ambient Intelligence Research Lab Stanford University USA

关键词： Cameras image resolution Correlation Maximum likelihood detection Maximum likelihood estimation Video sequences Tracking

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Lane Identification based on Robust Visual Odometry

Lane Identification based on Robust Visual Odometry

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International IEEE Conference on Intelligent Transportation Systems

作者： David Van Hamme Peter Veelaert Wilfried Philips Image Processing and Interpretation (IPI) research group Department of Telecommunications and Information Processing (TELIN) Ghent University

ISBN: (纸本)9781479929153

Many important intelligent vehicle systems rely on lane-level position estimates. We propose a novel lane identification approach based on robust monocular visual odometry. The images obtained from the visual odometry camera as well as the trajectory estimate are used to construct a linearized representation of the world plane near the vehicle trajectory. This linear section is classified into road surface and non-road surface using a Gaussian Mixture Model. The width of the available road surface on either side is measured to detect extra drivable lanes. Coupled with road map annotations describing the number of lanes, this allows to determine the lane index of the vehicle. Preliminary experiments on a test set of 32 segments of 120m each prove the viability of the method.

关键词： Roads Vehicles Visualization Cameras Strips Trajectory Intelligent vehicles

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A novel tracing method for the segmentation of cell wall networks

A novel tracing method for the segmentation of cell wall net...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society

作者： Jonas De Vylder Filip Rooms Stijn Dhondt Dirk Inze Wilfried Philips Department of Telecommunications and Information Processing iMinds Image

ISBN: (纸本)9781457702150

Cell wall networks are a common subject of research in biology, which are important for plant growth analysis, organ studies, etc. In order to automate the detection of individual cells in such cell wall networks, we propose a new segmentation algorithm. The proposed method is a network tracing algorithm, exploiting the prior knowledge of the network structure. The method is applicable on multiple microscopy modalities such as fluorescence, but also for images captured using non invasive microscopes such as differential interference contrast (DIC) microscopes.

关键词： Network Cell wall microscopes Research Subject Biological Science Disciplines Fluorescence differential interference contrast

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Communicationless Navigation Through Robust Visual Odometry

Communicationless Navigation Through Robust Visual Odometry

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International IEEE Conference on Intelligent Transportation Systems

作者： David Van Hamme Peter Veelaert Wilfried Philips Vision Systems research group University College Ghent Image Processing and Interpretation (IPI) research group department of Telecommunications and Information Processing (TELIN) Ghent University

ISBN: (纸本)9781467330640

GPS navigation is often found undependable in urban situations where tall structures occlude large parts of the sky. To keep accurate position in these situations, we need an alternative method. We propose a novel visual odometry method that is shown to provide reliable relative motion estimation in typical urban road driving using a single camera. While the short-term accuracy is good, relative motion estimation by itself is susceptible to drift and therefore insufficient to provide good long-term absolute position estimates. To overcome this drift, we propose to warp the visual odometry output to a stored map. This warping must be able to cope with temporary discrepancies between visual odometry and map data. The proposed mapping does not make a hard decision about road position, but instead entertains all plausible hypotheses about the followed trajectory and their associated warping costs. Evaluation on real test sequences proves that the method succesfully eliminates drift, and on average stays within 7 metres of simultaneously recorded GPS data. This proves that the combined visual odometry and mapping are sufficient to provide positioning with comparable accuracy to GPS in those situations when GPS is unavailable.

关键词： Cameras Visualization Vehicles Roads Trajectory Global Positioning System Feature extraction

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Automatic grading of appearance retention of carpets using intensity and range images

Automatic grading of appearance retention of carpets using i...

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作者： Orjuela Vargas, Sergio Alejandro Ortiz-Jaramillo, Benhur Vansteenkiste, Ewout Rooms, Filip De Meulemeester, Simon De Keyser, Robain Van Langenhove, Lieva Philips, Wilfried Ghent University Dept. of Telecommunications and Information Processing Image Processing and Interpretation Group Interdisciplinary Institute for BroadBand Technology Ghent B-9000 Belgium Antonio Nariño University Faculty of Electronics and Biomedical Engineering Bogotá Colombia Ghent University Department of Textiles Ghent B-9000 Belgium Ghent University Department of Electrical Energy Systems and Automation Ghent B-9000 Belgium

Textiles are mainly used for decoration and protection. In both cases, their original appearance and its retention are important factors for customers. Therefore, evaluation of appearance parameters are critical for quality assurance purposes, during and after manufacturing, to determine the lifetime and/or beauty of textile products. In particular, appearance retention of textile products is commonly certified with grades, which are currently assigned by human experts. However, manufacturers would prefer a more objective system. We present an objective system for grading appearance retention, particularly, for textile floor coverings. Changes in appearance are quantified by using linear regression models on texture features extracted from intensity and range images. Range images are obtained by our own laser scanner, reconstructing the carpet surface using two methods that have been previously presented. We extract texture features using a variant of the local binary pattern technique based on detecting those patterns whose frequencies are related to the appearance retention grades. We test models for eight types of carpets. Results show that the proposed approach describes the degree of wear with a precision within the range allowed to human inspectors by international standards. The methodology followed in this experiment has been designed to be general for evaluating global deviation of texture in other types of textiles, as well as other surface materials. © 2012 SPIE and IS&T.

关键词： Textiles

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Cellular Wall Segmentation of A. Thaliana Epidermal Tissue in DIC images

Cellular Wall Segmentation of A. Thaliana Epidermal Tissue i...

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Andean region International Conference

作者： D. Ochoa J. D'Vylder W. Philips Facultad de Ingenieria en Electricidad y Computacion Escuela Superior Politecnica del Litoral Guayaquil Ecuador Department of Telecommunications and Information Processing IBBT- Image Processing and Interpretation Ghent University Ghent Belgium

ISBN: (纸本)9781467344272

In this work, we discuss the problems of automatic segmentation of Arabidopsis thaliana epidermal cell patterning in images captured using a Differential Interference Contrast (DIC) microscope. These images are difficult to analyze due to the non-linear nature of DIC optics. The border of objects appear as a combination of bright and dark shadows with variable thickens and contrast levels. Our segmentation approach exploits prior knowledge on the optical properties of A. thaliana cell walls. A set of matching filters and a scale space line detector are used to generate an enhanced image that shows a single response at the location of cellular walls. To reduce the uncertainty in low contrast cellular walls several images are captured at different orientations. After image fusion, we obtain a single image that can be segmented using well established algorithms. Experiments on a manually annotated DIC image data set demonstrated the effectiveness of the proposed scheme.

关键词： annotated effectiveness scheme

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